Embedded vision solutions will be a key enabler for making automobiles fully autonomous. Giving an automobile a set of eyes – in the form of multiple cameras and image sensors – is a first step, but it also will be critical for the automobile to interpret content from those images and react accordingly. To accomplish this, embedded vision processors must be hardware optimized for performanc... » read more

Fully autonomous vehicles of the future will depend on a combination of different sensing technologies – advanced vision systems, radar, and light imaging, detection, and ranging (LiDAR). Of the three, LiDAR is now the costliest part of that equation, and there are worldwide efforts to bring down those costs.
Mechanical LiDAR units are currently available, priced in the hundreds of dollars... » read more

Vision processing is emerging as a foundation technology for a number of high-growth applications, spurring a wave of intensive research to reduce power, improve performance, and push embedded vision into the mainstream to leverage economies of scale.
What began as a relatively modest development effort has turned into an all-out race for a piece of this market, and for good reason. Mark... » read more

Vision systems have evolved from cameras that enable robots to “see” on a factory floor to a safety-critical element of the heterogeneous systems guiding autonomous vehicles, as well as other applications that call for parallel processing technology to quickly recognize objects, people, and the surrounding environment.
Automotive electronics and mobile devices currently dominate embedded... » read more

The semiconductor industry's obsession with clock speeds, cores and how many transistors fit on a piece of silicon may be nearing an end for real this time. The [getentity id="22048" comment="IEEE"] said it will develop the International Roadmap for Devices and Systems (IRDS), effectively setting the industry agenda for future silicon benchmarking and adding metrics that are relevant to specifi... » read more

Embedded vision is becoming a topic of heated conversation thanks to the emergence of neural networks and their ability to make computer systems learn by example.
Neural networks are a very different kind of processing element compared to the other kind of processors we have in the IP arsenal today in that they are not programmed in the same manner. They do not have a stream of instructions... » read more

Computer vision is a discipline that was established in the 1960s. With the advent of high-performance mobile computing platforms, we see rapid progress in computer vision capabilities. Machine vision is becoming embedded in highly integrated SoCs and expanding into emerging high-volume consumer applications such as home surveillance, games, and automotive safety. A major challenge in enabling ... » read more

It’s halfway through January, and I think we’ve exhausted our “2014 Forecast” posts for the year. Still, it’s helpful to consider what lies ahead when all we have under our belts at this point is CES 2014 (and that event was clearly underwhelming as a technology bellwether).
I propose three areas to watch closely in 2014, based on ploughed ground from some excellent industry observ... » read more